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Bringing AI in at Instacart

Trace a failure to its cause without losing the evidence

You’re the software engineer. Your team is in the room. Printed Oct 15, 2026.

Fast incident answers depend on evidence that remains inspectable.

Partner campaign continuity pulls toward rapid diagnosis, while event-chain reliability requires engineers to verify each proposed cause.

Who you’d be doing this for

“My brand team saw spend stop, and I had no answer beyond saying engineering was looking.”

Udom Setiawan · Retail Media Manager

Manages campaign performance for a brand buying placements across partner storefronts.

What is at stake

Partner campaigns can stop spending or report late while engineers reconstruct event chains by hand. You must weigh faster triage against evidence strong enough for an engineer to trust.

Why it isn’t already fixed

Every obvious fix costs something else. That’s the part you’d have to decide.

  • rapid triage vs evidence-backed diagnosis
  • partner continuity vs production safety
  • broad incident coverage vs a focused first deployment
  • AI context assembly vs engineer confirmation

Why Instacart

Carrot Ads API partner storefronts depend on reliable event handling and dead-letter recovery to keep campaign delivery and reporting dependable.

Written with these in mind

embedded AI systems buildertechnical solutions engineerreliability-minded forward deployed engineer

Not your kind of problem? 41 more at Instacart, or browse every organization.

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.